Multi-dimensional electric energy meter on-site state test method based on decision-making tree mass

Abstract

The invention discloses a multi-dimensional electric energy meter on-site state test method based on a decision-making tree mass. The method comprises the following steps of building a decision-makingtree by using collected data related to an electric energy meter and provided by an electricity information collection system; forming next-level branches through classifying each decision-making tree; generating the completely grown primary decision-making tree; pruning and optimizing on the primary decision-making tree based on a cost complexity pruning algorithm; using an independent test setto assess the accuracy of the primary decision-making tree after pruning and optimizing; selecting the optimal decision-making tree from each set of secondary decision-making trees, and forming a decision-making tree abnormity diagnostic model by all the optimal decision-making trees, wherein a judgment result wins in a voting manner; and transmitting an operational rule of the decision-making tree abnormity diagnostic model to an electricity information collection system Hadoop big data processing cluster, thus implementing abnormity detection on the abnormal running state of the running electric energy meter.

Description

technical field [0001] The invention belongs to the technical field of electric energy meter inspection, and in particular relates to a multi-dimensional electric energy meter field state inspection method based on a decision tree group. Background technique [0002] At present, the problems faced by the detection of electric energy meters are: my country has a vast territory and a high population density, and the terrain is mostly hilly and mountainous. The number of installations is increasing, and the fault diagnosis of electric energy meters involves outdoor operations, etc.; these phenomena have led to a sharp increase in the workload of the State Grid Electric Power Company, and problems such as cumbersome on-site inspections and narrow coverage areas. [0003] The disadvantage of the existing diagnosis system is that it often needs to invest more software and hardware equipment in the construction, and it cannot make reasonable use of the software and hardware equipmen...

AI Technical Summary

Problems solved by technology

[0002] At present, the problems faced by the detection of electric energy meters are: my country has a vast territory and a high population density, and the terrain is mostly hilly and mountainous. The number of installations continues to increase, and the fault diagnosis of electric energy meters involves outdoor operations, etc.; these phenomena have led to a sharp increase in the workload of the State Grid Electric Power Company, and problems such as cumbersome on-site inspections and narrow coverage areas

[0003] The disadvantage of the existing diagnosis system is that it often needs to invest more software and hardware equipment in the construction, and it cannot make reasonable use of the software and hardware equipment and data provided by the existing electricity information collection system platform for remote diagnosis and early warning, especially The existing software and hardware equipment of the State Grid Electric Power Company’s power consumption information collection system contains massive data information (such as user classification, communication methods, user meter reading information, user daily / monthly frozen data, energy meter data, etc.), and the power consumption The data parallel processing module of the existing big data processing platform of the information collection system can effectively realize the massive data processing speed of complex models. Therefore, using the existing hardware and software equipment and data provided by this platform to establish a reasonable abnormal diagnosis model for information In-depth analysis and excavation to develop a remote fault diagnosis system for electric energy metering devices to assist the power consumption information collection system to achieve efficient calibration of electric energy meters and other equipment

[0004] To sum up, in the prior art, how to deal with the problems of cumbersome on-site detection and narrow coverage of the existing electric energy meter diagnostic system, and how to effectively use the existing electricity consumption information collection platform to monitor the operation status of electric energy meters in a remote, comprehensive and intelligent manner. , Accurate detection detection and maintenance problems, there is still a lack of effective solutions

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